Places Data | 60 Million Curated Commercial Locations Worldwide

#	echo_poi_id	poi_name	brand	tier1_category	tier2_category	tier1_naics_code	tier1_naics_category	tier2_naics_code	tier2_naics_category	tier3_naics_code	tier3_naics_category	tier4_naics_code	tier4_naics_category	tier5_naics_code	tier5_naics_category	business_status	full_address	street_address	zip_code	admin_boundary_3	admin_boundary_2	admin_boundary_1	country_code	latitude	longitude	geo_h3_id_level_10	parent_organization	stock_ticker	opening_hours	phone_number	website
1	xxxxxxxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxx	xxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxxxxxx	xxxxxx
2	Xxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxx	xxxxxx	xxxxxxx	xxxxxxx	Xxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	xxxxxx	Xxxxxxxx	Xxxxxxx	Xxxxx	xxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxxxxx	xxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxxx
3	Xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxx	xxxxxxx	xxxxxxxxx	Xxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxx	xxxxx	Xxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxx	xxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxx	xxxxx
4	xxxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	xxxxx	xxxxxxxx	xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxxx	xxxxxxxxxx	Xxxxxx	xxxxxxxxx	Xxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxxxx	Xxxxxxx
5	xxxxxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxx	xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxx	Xxxxxxxx	xxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxx	Xxxxx	Xxxxxxx	Xxxxx	Xxxxxx	Xxxxx	Xxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxxx
6	Xxxxxx	Xxxxxxxxxx	Xxxxxx	Xxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxx	Xxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxx	Xxxxxxxxxx	xxxxxxxxx	Xxxxx	Xxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxxx	Xxxxxxxx	Xxxxxxxxx	xxxxx	Xxxxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx
7	xxxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	Xxxxxx	xxxxxx	xxxxxxxx	xxxxxxx	Xxxxx	Xxxxxxxxx	Xxxxx	Xxxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	xxxxxxx	xxxxxxxxxx	xxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxx	xxxxxxxx
8	Xxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	xxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	xxxxxxx	Xxxxxxxx	xxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxxxx	Xxxxxxx	xxxxx	xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxx	xxxxxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxx
9	Xxxxxxxx	Xxxxxxxxxx	Xxxxxxx	Xxxxxx	Xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	Xxxxx	Xxxxx	Xxxxx	Xxxxxxx	xxxxx	xxxxxxxxx	xxxxxxx	Xxxxxxx	xxxxxx	xxxxxxxxxx	xxxxxxxxxx	Xxxxxxx	xxxxxxxxx	Xxxxx	xxxxxxx	Xxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxxx	xxxxxxxxx
10	Xxxxxxx	Xxxxxxx	Xxxxx	xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxxxxx	xxxxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	Xxxxxxx	xxxxxxx	Xxxxxxxxxx	xxxxxxxx	Xxxxx	xxxxxxxxxx	xxxxxxxxxx	xxxxxx	xxxxxxxx	Xxxxxxxx	xxxxxx
...	xxxxxxxx	xxxxxx	Xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxxx	xxxxxxxx	Xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	xxxxxxxxxx	xxxxxxx	Xxxxxxxxx	xxxxxxxxx	xxxxxxxx	xxxxxxxxx	xxxxx	Xxxxx	Xxxxxxxx	xxxxxxxxxx	Xxxxxx	Xxxxxxxxx	Xxxxxxxxxx	xxxxxxx	Xxxxxxxxxx	Xxxxxxxxx	Xxxxxx	xxxxxxxx	xxxxxxxxxx

Request Data Sample

Avail. Formats

.json, .csv, and .xls

File

Coverage

Countries

Product Attributes

Attribute	Type	Example	Mapping
echo_poi_id	String	0f65ed7e-f75c-4c3b-a71e-4bf090f0cfeb-56591e76-192a-4039-b...	POI ID
poi_name	String	Costco Pharmacy	POI Name
brand	String	COSTCO WHOLESALE	Brand Name
tier1_category	String	healthcare	POI Category
tier2_category	String	pharmacies	POI Sub-category
tier1_naics_code	Integer	44-45
tier1_naics_category	String	Retail Trade
tier2_naics_code	Integer	455
tier2_naics_category	String	General Merchandise Retailers
tier3_naics_code	Integer	4552
tier3_naics_category	String	Warehouse Clubs, Supercenters, and Other General Merchand...
tier4_naics_code	Integer	455211
tier4_naics_category	String	Warehouse Clubs, Supercenters, and Other General Merchand...
tier5_naics_code	Integer	455211
tier5_naics_category	String	Warehouse Clubs and Supercenters
business_status	String	active
full_address	String	2975, Richmond Avenue, Staten Island, New York, 10314, Un...
street_address	String	2975, Richmond Avenue
zip_code	String	10314	ZIP Code
admin_boundary_3	String	New York	City Name
admin_boundary_2	String	Staten Island	County Name
admin_boundary_1	String	New York	State Name
country_code	String	US	Country Code Alpha-2
latitude	Float	40,57228	Latitude
longitude	Float	-74,16845	Longitude
geo_h3_id_level_10	String	8a2a106018cffff
parent_organization	String	COSTCO WHOLESALE CORPORATION	Organization Name
stock_ticker	String	NASDAQ: COST	Stock Ticker
opening_hours	String	{"Wednesday": [{"from": "10:00 AM", "to": "07:00 PM"}], "...	POI Opening Hours
phone_number	String	(###) ###-####	Phone Number
website	String	http://www.costco.com/	Website

Clean, precise, and verified business information on the locations of your choice. Get access to millions of POIs in the physical world with attributes like names, addresses, categories, and opening hours.

Places is a broad Plug&Play dataset providing precise & updated location information on over 60 million Points on Interest worlwide. How companies are leveraging Echo's Places: 1. Retailers: Identify businesses near your focus area and understand market currents. Assess which stores are meeting their profit potential, and which aren’t. Map out the competition and uncover the most profitable locations for your next stores. 2. Marketing & AdTech: Better understand your customer behavior to run cost-effective marketing campaigns. Identify the best neighborhoods to reach your ideal customers and optimize ad spend. Outline competitors to better understand the brand landscape. 3. FMCG: Take the right products to the right POS at the right time. Improve demand sensing to boost sales, improve customer engagement and reduce costs. Better prepare for demand disruptions, and identify untapped growth opportunities. 4. Data Analytics: Accurately assess target environments to improve predictive analyses, streamline decision-making, and increase consulting efficiency. Develop an on-demand market view, accelerate value generation, and fast-track your client experience.

Europe (23)

Austria

Belgium

Denmark

Finland

France

Germany

Hungary

Iceland

Ireland

Italy

Luxembourg

Netherlands

Norway

Poland

Portugal

Romania

Russian Federation

Slovakia

Spain

Sweden

Switzerland

Ukraine

United Kingdom

Free sample available

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

Request detailed pricing

Methods

Frequency

Format

Location-based Analytics

Retail Site Selection Market Share Analysis Point of Interest (POI) Mapping Point of Interest (POI) Marketing

Location Data Point of Interest (POI) Data Places Data

places datasets

320 Billion Pieces of Online Content Analyzed Each Day

80% match rate

249 countries covered

Reach out for GIS Data, Places Data, and Store Location Data! Unlock unparalleled insights with our Business Location Data. Explore Aggregated Point of Inter...

33.6K Locations

95% Coverage

2 countries covered

This product consists of point-of-interest data (POI) for all the Starbucks Coffeehouse locations in US and Canada

USA covered

This product combines POI data with Building Footprints, providing companies with core information of any physical location, as well as a clear picture on th...

11M POI (Points of Interest)

240 countries covered

1 years of historical data

Global business listings information about points of interest (POI), such as brand, address, location, lat/log, open-hours, and NAICS category. This high-qua...

What is Places Data 60 Million Curated Commercial Locations Worldwide?

What is Places Data 60 Million Curated Commercial Locations Worldwide used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Location-based Analytics, Retail Site Selection, Market Share Analysis, Point of Interest (POI) Mapping, and Point of Interest (POI) Marketing. Global businesses and organizations buy Location Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Places Data 60 Million Curated Commercial Locations Worldwide?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Location Data. Get in touch with Echo Analytics to see what their data can do for your business and find out which integrations they provide.

Which countries does Places Data 60 Million Curated Commercial Locations Worldwide cover?

This product includes data covering 23 countries like Germany, United Kingdom, France, Italy, and Russia. Echo Analytics is headquartered in France.

How much does Places Data 60 Million Curated Commercial Locations Worldwide cost?

Pricing information for Places Data 60 Million Curated Commercial Locations Worldwide is available by getting in contact with Echo Analytics. Connect with Echo Analytics to get a quote and arrange custom pricing models based on your data requirements.

How can I get Places Data 60 Million Curated Commercial Locations Worldwide?

Businesses can buy Location Data from Echo Analytics and get the data via S3 Bucket and SFTP. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .json, .csv, and .xls format.

What is the data quality of Places Data 60 Million Curated Commercial Locations Worldwide?

You can compare and assess the data quality of Echo Analytics using Datarade’s data marketplace. Echo Analytics has received 3 reviews from clients. Echo Analytics appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.

What are similar products to Places Data 60 Million Curated Commercial Locations Worldwide?

This Tabular Data has 3 related products. These alternatives include The Data Appeal GIS Data Places Data Store Location Data Business Location Data 200 Million + POI Data Mapped API, Dataset, Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse locations in US and Canada, and Echo Analytics POI & Building Footprint Data 6.9M+ Locations USA. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request

License	Starts at
One-off purchase	Available
Monthly License	Available
Yearly License	Available
Usage-based	Not available

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100% Response rate

Places Data | 60 Million Curated Commercial Locations Worldwide

Data Dictionary

Description

Geography

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Echo Analytics
Fuel your data-driven strategy with the most accurate POI Data in Europe

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Places Data | 60 Million Curated Commercial Locations Worldwide

Data Dictionary

Description

Geography

Pricing

Suitable Company Sizes

Delivery

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

Echo Analytics Fuel your data-driven strategy with the most accurate POI Data in Europe

Trusted by

Echo Analytics
Fuel your data-driven strategy with the most accurate POI Data in Europe